This specialization is for data scientists, applied mathematics, statisticians, or computer scientists, involved with decision making from data. The four courses build a firm foundation in how decisions can be meaningfully made, with confidence, on data collected in a streaming application. The level is intermediate, assuming basic math and statistics skills.
Data Science Decisions in Time Specialization
Data Science Decisions in Time Specialization
Make higher quality decisions based on learning from data in real time. Decisions often are made after all data is collected. But, many applications need decision while data is being collected.
Instructor: Thomas Woolf
Included with 
Get in-depth knowledge of a subject
Intermediate level
Recommended experience
3 months at 15 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Intermediate level
Recommended experience
3 months at 15 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
hypothesis testing while data is arriving - think of A:B testing -
flow control charts -an industry standard -and how they are developed and tested
Overview
Skills you'll gain
- Precision Medicine
- Game Theory
- Data-Driven Decision-Making
- Image Analysis
- Probability Distribution
- Bayesian Statistics
- Strategic Decision-Making
- Data Science
- Cybersecurity
- Bioinformatics
- Markov Model
- Data Analysis
- Time Series Analysis and Forecasting
- Statistical Analysis
- Anomaly Detection
- Clinical Trials
- Machine Learning Methods
- Analytics
- Predictive Analytics
- Reinforcement Learning
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
49 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Johns Hopkins University
Specialization - 4 course series
What you'll learn
By the end of the course you will: (1) understand sequential testing and thus when to stop collecting data and (2) how this concept is used today.
Skills you'll gain
Markov Model, Reinforcement Learning, Data Science, Data-Driven Decision-Making, Sampling (Statistics), Anomaly Detection, Machine Learning Methods, Statistical Analysis, Predictive Analytics, A/B Testing, Probability Distribution, Time Series Analysis and Forecasting, and Bayesian Statistics
What you'll learn
Skills you'll gain
Algorithms, Statistical Hypothesis Testing, Data Science, Probability Distribution, Medical Imaging, Bayesian Statistics, Program Development, Biomedical Engineering, Machine Learning Methods, Magnetic Resonance Imaging, Bioinformatics, A/B Testing, Analytics, Image Analysis, Computer Vision, Statistical Inference, and Data-Driven Decision-Making
What you'll learn
Skills you'll gain
Game Theory, Algorithms, Cybersecurity, Machine Learning Algorithms, Data-Driven Decision-Making, Reinforcement Learning, Applied Machine Learning, Machine Learning, and Data Science
What you'll learn
Skills you'll gain
Clinical Trials, Data-Driven Decision-Making, Personalized Service, Treatment Planning, Data Analysis, A/B Testing, Precision Medicine, Online Advertising, Random Forest Algorithm, Machine Learning, Data Science, Root Cause Analysis, Analytics, and Strategic Decision-Making
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
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Frequently asked questions
It is estimated that each course will take 3-5 weeks. Your time through the course is up to you, there is no forced time limit.
The course assumes basic math and statistics.
The courses build from the first to the fourth. It is not required to take them in order, but it may be easier to follow the flow done in that order.
More questions
Financial aid available,